class_docstr: LRC from Evert (2023).
  
  A direct translation of the R function from (Evert 2023)
  Stephanie Evert. 2023. Measuring Keyness. https://osf.io/x8z9n.
class_docstr_tok: ["LRC","from","Evert","(","2023",")",".","A","direct","translation","of","the","R","function","from","(","Evert","2023",")","Stephanie","Evert",".","2023",".","Measuring","Keyness",".","https",":","\/\/osf.io\/x8z9n","."]
code: def get_scores(self, *args) -> pd.Series:
      n1, n2, f1, f2 = self._get_ns_and_fs(args)
  
      scores = lrc(
          f1=f1,
          f2=f2,
          n1=n1,
          n2=n2,
          conf_level=self.conf_level_,
          correct=self.correct_,
          alternative=self.alternative_,
      )
  
      return pd.Series(scores, index=self._get_terms())
  
file_path: scattertext/scattertext/termscoring/lrc.py
imports: from typing import Union
  import numpy
  import pandas
  from scipy.stats import beta
  from scattertext import CorpusBasedTermScorer
label_desc: Use image node_id 3 for calling the LRC obj's underlying member method code with example usage: obj.get_scores() and returns: pd